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1 to 10 of 60 Results
Oct 25, 2018
King, Gary;Nielsen, Richard, 2018, "Replication Data for: Why Propensity Scores Should Not Be Used for Matching", https://doi.org/10.7910/DVN/C0DBAE, Harvard Dataverse, V3
We show that propensity score matching (PSM), an enormously popular method of preprocessing data for causal inference, often accomplishes the opposite of its intended goal --- increasing imbalance, inefficiency, model dependence, and bias. PSM supposedly makes it easier to find m...
Apr 14, 2018
Jiang, Wenxin;King, Gary;Schmaltz, Allen;Tanner, Martin A., 2018, "Replication Data for: Ecological Regression with Partial Identification", https://doi.org/10.7910/DVN/8TB7GO, Harvard Dataverse, V1
NOTE: This is a pre-publication release. (Version 0.1.) This repository includes details for replicating the results in: Wenxin Jiang, Gary King, Allen Schmaltz, and Martin A. Tanner. 2018. "Ecological Regression with Partial Identification". (under review)
Nov 13, 2017
King, Gary;Schneer, Benjamin;White, Ariel, 2017, "Replication Data for: How the News Media Activates Public Expression and Influences National Agendas", https://doi.org/10.7910/DVN/1EMHTK, Harvard Dataverse, V1
We demonstrate that the news media causes Americans to take public stands on issues, join national policy conversations, and express themselves publicly more often than they would otherwise --- all key components of democratic politics. We recruited 48 mostly small media outlets...
Apr 8, 2017
King, Gary;Pan, Jennifer;Roberts, Margaret E., 2017, "Replication data for: How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, not Engaged Argument", https://doi.org/10.7910/DVN/QSZMPD, Harvard Dataverse, V1, UNF:6:/3IIELdmrcyZm+v5mx0OJg== [fileUNF]
The Chinese government has long been suspected of hiring as many as 2,000,000 people to surreptitiously insert huge numbers of pseudonymous and other deceptive writings into the stream of real social media posts, as if they were the genuine opinions of ordinary people. Many acade...
Dec 22, 2016
King, Gary;Pan, Jennifer;Roberts, Margaret E., 2013, "Replication data for: How Censorship in China Allows Government Criticism but Silences Collective Expression", https://doi.org/10.7910/DVN1/22691, Harvard Dataverse, V4
We offer the first large scale, multiple source analysis of the outcome of what may be the most extensive effort to selectively censor human expression ever implemented. To do this, we have devised a system to locate, download, and analyze the content of millions of social media...
Mar 14, 2016 - Christopher Lucas Dataverse
King, Gary, Christopher Lucas, and Richard Nielsen, 2016, "Replication Data for: The Balance-Sample Size Frontier in Matching Methods for Causal Inference", https://doi.org/10.7910/DVN/TRTXLP, Harvard Dataverse, V1, UNF:6:jqAk5bLEzcvHoUHxQqWcag== [fileUNF]
Replication Data for: The Balance-Sample Size Frontier in Matching Methods for Causal Inference
Dec 2, 2015
King, Gary;Roberts, Margaret, 2014, "Replication data for: How Robust Standard Errors Expose Methodological Problems They Do Not Fix, and What to Do About It", https://doi.org/10.7910/DVN/26935, Harvard Dataverse, V7, UNF:5:Bc1yVsbYLpjnS0Bx6FDnNA== [fileUNF]
"Robust standard errors" are used in a vast array of scholarship to correct standard errors for model misspecification. However, when misspecification is bad enough to make classical and robust standard errors diverge, assuming that it is nevertheless not so bad as to bias everyt...
May 22, 2015
King, Gary;Pan, Jennifer;Roberts, Margaret, E., 2014, "Replication data for: Reverse Engineering Chinese Censorship: Randomized Experimentation and Participant Observation", https://doi.org/10.7910/DVN/26212, Harvard Dataverse, V5, UNF:5:K/LGmB0vjskGYBobxbT+8g== [fileUNF]
Chinese government censorship of social media constitutes the largest coordinated selective suppression of human communication in recorded history. Although existing research on the subject has revealed a great deal, it is based on passive, observational methods, with well known...
May 8, 2015
Kashin, Konstantin;King, Gary;Soneji, Samir, 2015, "Replication data for: Systematic Bias and Nontransparency in US Social Security Administration Forecasts", https://doi.org/10.7910/DVN/28122, Harvard Dataverse, V1, UNF:5:1oerGFXQ0Bu9bcMFU5/t2A== [fileUNF]
We offer an evaluation of the Social Security Administration demographic and financial forecasts used to assess the long-term solvency of the Social Security Trust Funds. This same forecasting methodology is also used in evaluating policy proposals put forward by Congress to modi...
May 8, 2015
Kashin, Konstantin;King, Gary;Soneji, Samir, 2015, "Replication data for: Explaining Systematic Bias and Nontransparency in US Social Security Administration Forecasts", https://doi.org/10.7910/DVN/28323, Harvard Dataverse, V1, UNF:6:967llFHgiywsHWWp1cVg9A== [fileUNF]
The accuracy of U.S. Social Security Administration (SSA) demographic and financial forecasts is crucial for the solvency of its Trust Funds, other government programs, industry decision making, and the evidence base of many scholarly articles. Because SSA makes public little rep...
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